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Clinical features of childhood acute myeloid leukaemia with specific gene
rearrangements
Leukemia (2004) 18, 1427–1429. doi:10.1038/sj.leu.2403410
Published online 17 June 2004
TO THE EDITOR
Specific gene rearrangements seem to distinguish distinct
subsets of acute myeloid leukaemia (AML) with different
features and prognosis, and some reports suggest that the
epidemiological distribution of AML could vary among coun-
tries.
1,2
To date, cytogenetic examination has been used to study
the frequency of these genetic alterations in a large series of
children
3–5
with AML; nevertheless, in a proportion of cases,
these gene rearrangements may be cryptic and undetectable by
conventional cytogenetic techniques.
6,7
To evaluate the fre-
quency of specific gene rearrangements, the corresponding
clinical morphological features at diagnosis and the potential
prognostic impact on patients’ long-term survival, we screened
by RT-PCR five different chimaeric transcripts (AML1-ETO,
CBFb-MYH11, PML-RARa, MLL-AF9 and BCR-ABL) in a series
of 270 Italian children with AML, treated with AIEOP-LAM 87–
92, BFM 83-93 and AIDA protocols between 1988 and 1998,
and whose RNA were available and morphology had been
centrally reviewed.
Of the cases, 45% were positive for one fusion gene. The
frequency of AML1-ETO, CBFb-MYH11, PML-RARaand MLL-
AF9 were 14, 6.3, 20 and 4%, respectively, while BCR-ABL was
observed in only two cases. The frequency of AML1-ETO, MLL-
AF9 and CBFb-MYH11 found was comparable with those of
t(8;21), t(9;11) and inv(16) reported previously, suggesting that
these gene rearrangements do not have geographic hetero-
geneity. On the contrary, PML-RARa-positive AML represented
20% of our cohort. This is a higher frequency than that reported
in other studies of children from Northern Europe or the United
States, but the increased frequency of promyelocytic leukaemia
in Italian AML children has already been described.
Cytogenetic analysis was successfully carried out in 153
patients, while it failed or was not performed in 117 patients.
Abnormalities were identified in 90/153 (59%), the frequency of
t(8;21), inv(16), t(15;17) and t(9;11) was 9.8, 2, 17 and 2%,
respectively; the 63 remaining cases (41%) had a normal
karyotype. In the t(8;21)-positive AML cases, the most common
associated alterations involved chromosome 9. Among patients
with normal karyotype, RT-PCR identified 17/63 (27%) chimae-
ric transcripts, and six further cases with translocations
undetected by cytogenetics were found among the 43 children
reported to have an abnormal karyotype. Considering t(8;21),
inv(16), t(15;17) and t(9;11) together, 130/153 (85%) patients,
who had a successful analysis were correctly classified
cytogenetically. Then, in our experience, cytogenetics showed
comparable specificity (100%), but lower sensitivity (67%) than
RT-PCR. A general agreement exists in considering RT-PCR
more sensitive than conventional cytogenetics in identifying
specific gene rearrangements and the fusion genes studied have
been described in the absence of identifiable translocations.
Nevertheless, the molecular technique is not capable of
identifying associated abnormalities. Therefore, since the
genetic studies in childhood AML allow for the identification
of patient subgroups who probably can benefit from a more
tailored therapy and the fusion gene identified can represent a
useful target for the minimal residual disease study, ideally all
cases should be studied by RT-PCR and cytogenetics: two
complementary methods in the genetic characterisation of
leukaemia.
Clinical data collected included FAB subtypes, gender, age,
WBC count at diagnosis and extramedullary involvement,
whenever available (Table 1). The low number of M7-AML
was due to the scarce number of cells collected in megakaryo-
blastic leukaemia.
The median age at diagnosis for all patients was 7.8 (range 0–
19.5). Cases with AML1-ETO and PML-RARafusion genes were
older patients (median age 8.2 and 9.5 years, respectively),
while the median age of patients with CBFb-MYH11 and MLL-
AF9 was 6.7 and 3.2 years, respectively.
A strong, although not exclusive, association between M3,
M4 and M5 FAB subgroups and the presence of PML-RARa,
CBFb-MYH11 and MLL-AF9 gene rearrangements, respectively,
was found. The AML1-ETO-positive cases represented 43% of
M2 AML; however, this gene rearrangement was frequently
found in M1 patients as well. As a whole, 92% (34/37) of AML1-
ETO-positive AML were classified as FAB-M1 or FAB-M2.
The median WBC count at diagnosis was significantly higher
in CBFb-MYH11-positive cases, while PML-RARa- and AML1-
ETO-positive cases had the lowest values. Also, among M2 and
M1 plus M2 FAB subgroups this value was significantly lower in
AML1-ETO-positive AML than in negatives (16 000/mlvs 30 800/
ml, P¼0.027; 16 000/mlvs 34 200/ml, P¼0.0005).
Extramedullary disease involved the liver (41%), spleen
(37%), node (15%), CNS (8%) and other sites (9%). The FAB-
M3 subtype and the presence of PML-RARaor AML1-ETO
fusion genes were significantly associated with low frequency of
extramedullary involvement (P¼0.0002, P¼0.002 and
P¼0.0047, respectively), while a correlation with the presence
of extramedullary disease was found with the presence of MLL-
AF9, M4 and M5 FAB subgroups and a WBC count at diagnosis
higher than 20 000/ml(P¼0.024, P¼0.017, P¼0.018 and
P¼0.046, respectively). CNS involvement was found in 19
patients and, in five of them, was the sole extramedullary site
involved. A significant correlation was found only between CNS
disease and a WBC count of X50 000/ml at diagnosis
(P¼0.002).
In our series, the genetic subgroups showed a characteristic
clinical and morphological profile with regard to FAB subtype,
age distribution, WBC count at diagnosis, extramedullary
Received 6 February 2004; accepted 4 May 2004; Published online
17 June 2004
Correspondence: E Frascella, Pediatric Hematology-Oncology,
Department of Pediatrics, University of Padova, via Giustiniani 3,
Padova 35128, Italy;
Fax: þ39 0498211462; E-mail: emanuela.frascella@unipd.it
Leukemia (2004) 18, 1427–1450
&2004 Nature Publishing Group All rights reserved 0887-6924/04 $30.00
www.nature.com/leu
disease and CNS involvement. PML-RARa-positive cases
showed a strong association with the FAB-M3 subtype, a
progressive increase of frequency with age, a low WBC count
and only occasional extramedullary and CNS involvement.
AML1-ETO-positive leukaemia demonstrated a peculiar distri-
bution with respect to specific age groups, with the highest
incidence between 5 and 10 years, and a close, but not
exclusive, correlation with the FAB-M2 subtype. Furthermore, a
moderate increase of the WBC count at diagnosis seems to be a
typical feature of t(8;21) AML; indeed, in our patients the
median WBC count was 16 000/ml, similar to values reported by
other authors, while, unlike the results of other studies, we did
not observe an increased frequency of CNS involvement in this
group. CBFb-MYH11 AML were associated with the FAB-M4
subtype, even if occasionally found in M2 and M5 AML, and
were characterized by a high WBC count at diagnosis with
frequent CNS involvement. MLL-AF9-positive AML was the
group with the highest percentage of infants and the lowest
median age; these cases often showed extramedullary disease
and CNS involvement even though the median WBC count at
diagnosis was o20000/ml.
Complete remission was achieved in 84.5% of cases. In
patients with AML positive for AML1-ETO, CBFb-MYH11, MLL-
AF9 and PML-RARa, the CR rate was 91, 87.5, 91, and 84.3%,
respectively. The lowest CR rate was observed in patients less
than p1 year (63%, P¼0.007) and when the WBC count at
diagnosis was higher than 50 000/ml (76.9%, P¼0.029).
Univariate and multivariate survival analyses were carried out
on a series of 200 patients, excluding secondary AML, Down
syndrome and promyelocytic leukaemia since specific proto-
cols, including ATRA, were implemented to treat APL over the
years. Variables considered in univariate analysis were: gender,
extramedullary disease, CNS involvement, presence of AML1-
ETO/CBFb-MYH11 gene rearrangements, FAB subtypes, median
WBC count at diagnosis p20 000/mlor420 000/ml and age p1
year or 41 year. The significant prognostic factors for both EFS
and OS are listed in Table 2. Owing to the scarce number of
cases and the presence of a case with Down syndrome, the MLL-
AF9 gene rearrangement was not considered in the survival
analysis; nevertheless, in our series 54.5% of the patients were
still alive in remission. Multivariate analysis (Table 3) confirmed
that the absence of the AML1-ETO and CBFb-MYH11 gene
rearrangements, a WBC count of 420 000/ml at diagnosis and
an age p1 year are independent unfavourable prognostic
factors. A general consensus exists in considering CBFb-
MYH11-positive AML as a group characterised by better CR
and better survival rates than other AML, in spite of hyperleu-
cocytosis at diagnosis and CNS involvement, while conflicting
Table 1 Presenting clinical and biological features
Cohort WBC 10
3
ml
a
ED
b
(CNS pos)
n % Median
#^
Range % %
Total 270 100 22.8 0.8–495 56.7 (8.0)
Sex
Female 126 47 25.9 1.4–495 56.8 (9.6)
Male 144 53 17.4 0.8–340 56.7 (6.4)
Age (years)
p1 22 8 29.3 2.9–190 60.0 (15.8)
41p5 65 24 25.1 1.8–495 64.6 (6.1)
45p10 85 31 24.5 0.8–425 45.1 (7.0)
410p15 86 32 22.2 1–342 58.7 (9.3)
415 12 4 11.3 1.9–41.2 41.7 (F)
FAB subgroup
M0 12 4.5 32.0 11.7–264 70.0 (10.0)
M1 39 14.5 44.7 1–400 63.0 (7.4)
M2 58 21.5 21.6 1.4–322 50.0 (7.7)
M3 54 20 5.6
#
0.8–290 34.0 (2.0)
M4 43 16 48.7
^
3–425 70.7 (15.0)
M5 57 21 29.9 1.8–495 71.1 (9.6)
M6 4 1.5 NE NE NE
M7 3 1 NE NE NE
Gene rearrangement
AML1-ETO 37 14 16.0
^
1.5–329 39.3 (7.1)
CBFb-MYH11 17 6.3 51.4
#
11.2–220 60.0 (14.3)
PML-RARa 54 20 5.6
#
0.8–290 38.2 (2.0)
MLL-AF9 11 4 16.7 1.8–400 91.0 (18.0)
BCR-ABL 2 0.7 NE NE NE
Negative 149 55 32.2 1.0–495 65.3 (6.3)
ED ¼extramedullary disease; NE ¼not evaluable.
a
Percentages calculated on 252 pts. for whom data were available.
b
Percentages calculated on 236 pts. for whom data were available.
c
Median sign test significant:
^
Po0.05 and
#
Po¼0.001. Control
group was total population.
Table 2 Univariate survival analysis: significant variables
Variable Pts. Overall survival Event-free survival
4 years % value (s.e.) Log-rank P-value 4 years % value (s.e.) Log-rank P-vaue
All patients 200 45.3 (3.6) F41.0 (3.6) F
AML1ETO+CBFb-MYH11 positive 52 58.4 (7.0) 0.024 54.7 (7.3) 0.029
AML1ETO+CBFb-MYH11 negative 148 41.0 (4.2) 36.4 (4.0)
WBC p20000/ml 74 59.5 (5.9) 0.0038 53.5 (6.0) 0.0038
WBC 420000/ml 116 37.4 (4.6) 33.8 (4.5)
Age p1 year 19 25.3 (10.2) 0.0058 21.0 (9.3) 0.002
Age 41 year 181 47.5 (3.8) 43.2 (3.8)
Table 3 Multivariate analysis by Cox’s model
Variable Overall survival Event-free survival
Hazard
ratio
95% hazard ratio
confidence limits
P-value Hazard
ratio
95% hazard ratio
confidence limits
P-value
AML1-ETO and CBFb-MYH11 neg. 1760 1.056–2.933 0.030 1662 1.012–2.732 0.045
WBC 420 000/ml 1793 1.181–2.721 0.006 1725 1.148–2.592 0.009
Age p1 year 1860 1.035–3.344 0.038 1941 1.101–3.422 0.022
Correspondence
1428
Leukemia
data exist with regard to AML1-ETO-positive AML. In these
genetic subgroups, an improvement of the outcome in patients
treated with high-dose cytarabine has been described.
8
There-
fore, the poor outcome occasionally reported might be related to
the absence of high-dose cytarabine in the treatment regimens.
In our series, many patients received high-dose cytarabine and,
thus, the favourable outcome observed in patients with AML1-
ETO- and CBFb-MYH11-positive AML could depend on the
treatment received.
Finally, we performed long-term survival analysis to evaluate
the events time distribution considering that the main cause of
failure in AML was relapse (Figure 1). A time interval from
diagnosis of 18 months or longer was significantly more frequent
among AML lacking AML1-ETO and CBFb-MYH11 transcripts
than in positive cases (12.3 vs 2%, respectively, P¼0.02). As a
consequence, the survival probability showed a progressive
decrease in the first group of patients so that their corresponding
10-year survival probability was 31.774.8%. On the contrary,
patients with AML1-ETO- and CBFb-MYH11-positive AML
achieved a plateau at 4 years for both EFS and OS. Among
infants, all events occurred within 14 months from diagnosis and
were mainly due to induction death. Thus, the presence of early
relapses seems to distinguish the AML1-ETO/CBFb-MYH11-
positive cases from the negative ones. These data have been not
previously reported and suggest that the molecular study of
minimal residual disease, performed during the first 2 years from
diagnosis, could allow for the timely identification of early
events in AML with rearrangement of the core binding factor
genes AML1 and CBFb, since relapses are the main cause of
failure in these patients. In addition our study suggests that a
long-term follow-up could be necessary to evaluate the true
probability of survival in patients at high risk of late relapse.
Acknowledgements
We thank Professor G Valsecchi for her helpful suggestions, Ms S
Disaro
`for excellent technical assistance, Dr A Leszl for
cytogenetic data and Dr C Case for linguistic consultancy. We
are grateful to all the clinicians of the participating AIEOP centres
for clinical data. We also thank S Fenu, L Sainati, A Cantu`
Rajnoldi and G Basso for the morphological review. This research
was supported by Fondazione Citta
`della Speranza and and
Prog.Fin. 2001/01/X/000177 Ministero Salute OBG, MIUR 60-
40% and CNR Progetto Oncologia.
E Frascella
1
R Rondelli
2
M Pigazzi
1
C Zampieron
1
F Fagioli
3
C Favre
4
AA Lippi
5
F Locatelli
6
M Luciani
7
G Menna
8
C Micalizzi
9
C Rizzari
10
AM Testi
11
A Pession
2
G Basso
1
1
Pediatric Hematology-Oncology Units,
University of Padova, Italy;
2
Pediatric Hematology-Oncology Units,
University of Bologna, Italy;
3
Pediatric Hematology-Oncology Units,
University of Torino, Italy;
4
Pediatric Hematology-Oncology Units,
University of Pisa, Italy;
5
Pediatric Hematology-Oncology Units,
University of Firenze, Italy;
6
Pediatric Hematology-Oncology Units,
University of Pavia, Italy;
7
Pediatric Hematology-Oncology Units,
Bambino-Gesu` Hospital, Roma, Italy;
8
Department of Oncology A.O.R.N. Santobono-
Pausilipon, Napoli, Italy;
9
Hematology-Oncology Units, Gaslini Institute,
Genova, Italy;
10
Pediatric Hematology-Oncology Units,
University of Monza, Italy; and
11
Department of Hematology, University of
Roma, Roma, Italy
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Correspondence
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